Evidence map›Paper›PMID 41409153›Full record

ArticlebioRxiv : the preprint server for biology2025

The MTL200: a surface-based, probabilistic atlas of the medial temporal lobe.

Ian Faul, Adya Agarwal, Stephen Graziose, Andrew Nwacha, Janis Park, Anisah Sahibul, Katie Tong, Ben Deen

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ian FaulDepartment of Psychology, Tulane University, New Orleans, LA, USA.
Adya AgarwalDepartment of Psychology, Tulane University, New Orleans, LA, USA.
Stephen GrazioseDepartment of Psychology, Tulane University, New Orleans, LA, USA.
Andrew NwachaDepartment of Psychology, Tulane University, New Orleans, LA, USA.
Janis ParkDepartment of Psychology, Tulane University, New Orleans, LA, USA.
Anisah SahibulDepartment of Psychology, Tulane University, New Orleans, LA, USA.
Katie TongDepartment of Psychology, Tulane University, New Orleans, LA, USA.
Ben DeenDepartment of Psychology, Tulane University, New Orleans, LA, USA.ORCID 0000-0001-6361-6329

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

The human medial temporal lobe (MTL) includes a number of cortical regions surrounding the hippocampus implicated in long-term memory and high-level perception, including temporopolar cortex (TPC), entorhinal cortex (ERC), perirhinal cortex (PRC), and parahippocampal cortex (PHC). A critical prerequisite to studying the function of these areas is to define their anatomical boundaries. While several atlases or segmentations methods for automated boundary definition exist, they have limitations: 1) they are derived from small sample sizes; 2) most do not include TPC; and 3) they are volumetric rather than surface-based and are therefore not straightforward to use for surface-based analysis of MRI data. Here we present the MTL200: a surface-based, probabilistic atlas of MTL regions TPC, ERC, PRC, and PHC. The atlas is derived from hand drawings of regions based on gross anatomical features corresponding to cytoarchitectonic boundaries, using anatomical MRI data from 200 human participants. This work provides a valuable tool for researchers studying the anatomy and function of MTL regions, particularly the poorly characterized area TPC.

Indexed as

atlasentorhinallong-term memorymedial temporal lobeMRIparahippocampalperhirhinaltemporopolar

Identifiers

PMID41409153
PMCPMC12707270

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.